Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a AI Backend Engineer to build and operate the backend infrastructure that powers AI-driven experiences across its products. The role focuses on owning the inference and orchestration layer that sits between AI models and end users, ensuring every interaction is fast, reliable, scalable, and cost-efficient.
Working closely with engineering and AI teams, this position will play a key role in designing production-grade backend services, optimizing system performance, and delivering robust AI-powered features across mobile and desktop platforms.
Key Responsibilities
Build, maintain, and operate backend systems that power AI-enabled features in production.
Design and implement AI inference pipelines, orchestration layers, and service architectures around AI models.
Develop scalable, high-performance APIs that integrate seamlessly with frontend applications and machine learning systems.
Optimize system performance by improving inference latency, throughput, caching, batching, and streaming capabilities.
Own production operations, including monitoring, logging, alerting, and incident response.
Troubleshoot and resolve issues within distributed systems to ensure service reliability and stability.
Continuously improve backend architecture and production systems based on operational insights and real-world usage.
Collaborate with cross-functional teams to deliver reliable, scalable, and high-quality AI-powered solutions.
Requirements
Strong backend engineering experience in production environments.
Proven experience building and operating high-throughput, low-latency backend services.
Experience designing scalable APIs and distributed systems.
Familiarity with AI inference patterns, including Large Language Models (LLMs), embeddings, and multimodal AI systems.
Strong debugging and troubleshooting skills within distributed production environments.
Demonstrated ability to deliver production-ready solutions while iterating based on real-world system performance.
Excellent analytical, problem-solving, and collaboration skills.
Technical Skills
Experience with the following technologies is preferred:
Python
Node.js
PyTorch
OpenAI, Anthropic, or open-source Large Language Models (LLMs)
SQL and NoSQL databases
Kubernetes
Docker
Location: Yerevan, Armenia
Description
We are seeking a detail-oriented and proactive
InfoSec Compliance Operations Specialist
to support the implementation and ongoing operation of the organization’s Information Security governance, compliance, policy, and certification activities.
This is a hands-on, execution-focused role. The specialist will assist with maintaining policies and procedures, collecting and organizing compliance evidence, supporting audits and certifications, updating Information Security documentation, monitoring assigned actions, and coordinating routine communications with internal and external stakeholders.
The role does not include formal management responsibility, strategic ownership of the Information Security program, approval authority, or independent decision-making regarding risk acceptance, policy approval, or compliance exceptions.
Responsibilities
Support the implementation and ongoing operation of Information Security governance, compliance, and ISMS activities
Maintain compliance documentation, control matrices, risk registers, evidence repositories, corrective-action trackers, and related records
Collect, review, organize, and maintain evidence for ISO/IEC 27001, PCI DSS, internal audits, external assessments, and certification activities
Support the preparation, review, publication, version control, and periodic update of Information Security policies, standards, procedures, and guidelines
Track compliance gaps, audit findings, risk-treatment actions, remediation activities, responsible owners, and completion deadlines
Support internal and external audits, readiness assessments, control reviews, and certification activities
Prepare compliance reports, audit updates, policy summaries, risk documentation, meeting materials, and management-review content
Assist with maintaining the Information Security risk register, control inventory, Statement of Applicability, and supporting documentation
Support customer security questionnaires, third-party assessments, and routine coordination with IT, Legal, Procurement, Compliance, and business teams
Follow up with responsible stakeholders on outstanding evidence, document reviews, corrective actions, and compliance deadlines
Requirements
Relevant education or professional experience in Information Security, cybersecurity, compliance, risk management, audit, policy administration, or a related field
Strong understanding of Information Security governance, risk, compliance, internal controls, and standards such as ISO/IEC 27001 or PCI DSS
Experience preparing, reviewing, updating, or maintaining policies, procedures, compliance records, or audit documentation
Strong documentation, business-writing, communication, organizational, and stakeholder-coordination skills
Ability to manage multiple deadlines, follow established procedures, work with technical and non-technical teams, and handle confidential information appropriately
Location: Lagos, Nigeria
Who We Are
We're a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience.
The Role
The Senior Risk Analyst (Portfolio Risk) is responsible for driving portfolio risk analytics, credit performance monitoring, Expected Credit Loss (ECL) modeling, impairment analysis, and value-added risk initiatives that optimize portfolio performance and profitability.
The role partners closely with Risk, Finance, Product, Collections, and Technology teams to deliver actionable portfolio insights, automate reporting, improve decision-making, and support strategic initiatives such as Risk-Based Pricing (RBP), digitalization, and portfolio optimization.
This role is ideal for someone with strong analytical capabilities, deep knowledge of retail lending portfolios, IFRS 9/ECL methodologies, and the ability to translate complex data into business recommendations within a fast-paced financial services environment.
What You Will Do
Monitor and analyze portfolio performance across all lending products, identifying emerging risks, trends, and business opportunities.
Develop, automate, and maintain portfolio risk dashboards, management reports, and executive reporting.
Lead value-added portfolio initiatives including Risk-Based Pricing (RBP), digitalization, and portfolio optimization projects.
Deliver timely, accurate, and insightful reporting to support strategic and operational decision-making.
Own the portfolio Expected Credit Loss (ECL) and impairment analysis in accordance with IFRS 9 requirements.
Provide profitability analysis by evaluating impairment costs, portfolio performance, and P&L contribution across each lending product.
Support forecasting of credit losses, provisions, and portfolio performance under different economic scenarios.
Design and enhance portfolio monitoring frameworks, early warning indicators, and risk performance metrics.
Collaborate with Data, Finance, Product, Collections, and Technology teams to improve data quality and reporting automation.
Build automated reporting solutions and improve data infrastructure to reduce manual processes.
Conduct deep-dive analyses into portfolio trends, customer behavior, segmentation, and credit performance.
Perform portfolio stress testing, sensitivity analysis, and scenario modeling.
Support regulatory reporting, internal audits, and governance requirements relating to portfolio risk.
Recommend risk policy enhancements based on portfolio performance and analytical findings.
Maintain documentation for portfolio methodologies, reporting processes, and analytical models.
Drive continuous improvement initiatives across portfolio analytics and reporting capabilities.
Requirements
What You Bring
Educational Qualification
Bachelor's degree in Statistics, Mathematics, Economics, Finance, Accounting, Computer Science, Engineering, or a related quantitative discipline.
Master's degree is an added advantage.
Professional Certifications
FRM (Financial Risk Manager) – preferred.
CFA (Chartered Financial Analyst) – an advantage.
ACCA, ACA, or equivalent accounting qualification is beneficial.
IFRS 9 or Credit Risk certifications are an added advantage.
Microsoft Power BI, SQL, Python, SAS, or Data Analytics certifications are desirable.
Experience
Minimum of 5–7 years of experience in Portfolio Risk, Credit Risk Analytics, Risk Modelling, or Financial Risk.
Experience within banking, fintech, consumer lending, digital lending, or financial services.
Demonstrated experience with IFRS 9, Expected Credit Loss (ECL), impairment analysis, and portfolio monitoring.
Experience building automated reporting and portfolio dashboards.
Experience supporting senior management with portfolio performance insights and strategic recommendations.
Professional Competencies
Strong knowledge of portfolio risk management principles and retail lending products.
Deep understanding of IFRS 9, ECL methodologies, impairment calculations, and provisioning.
Strong analytical skills with experience interpreting large datasets and translating insights into business actions.
Advanced proficiency in SQL, Excel, Power BI, Tableau, Python, SAS, R, or similar analytical tools.
Strong understanding of P&L drivers, portfolio profitability, and financial performance analysis.
Experience designing portfolio monitoring frameworks and early warning indicators.
Ability to automate reporting processes and improve reporting efficiency.
Strong knowledge of credit risk metrics including PAR, Roll Rates, Vintage Analysis, Loss Rates, Recoveries, and Collections performance.
Excellent presentation, communication, and stakeholder management skills.
Strong attention to detail with the ability to influence strategic decision-making through data.
Ability to manage multiple priorities within a fast-paced environment.
This Role Is Ideal For You If:
You enjoy transforming complex portfolio data into strategic business insights.
You are passionate about credit risk analytics, portfolio optimization, and automation.
You enjoy improving reporting efficiency through digitalization and data-driven solutions.
You thrive in solving complex business problems using analytics.
You enjoy collaborating across Risk, Finance, Technology, and Product teams.
You want to influence credit strategy and portfolio performance at scale.
You May Not Enjoy This Role If:
You prefer operational roles over analytical and strategic work.
You are uncomfortable working with large datasets and complex financial models.
You dislike automation, reporting, or continuous process improvement.
You prefer highly repetitive work with limited opportunities for innovation.
You are not interested in financial performance, impairment, or portfolio optimization.
Benefits
What's In It For You
Opportunity to shape portfolio strategy within a leading fintech organization.
Direct ownership of portfolio analytics, IFRS 9 reporting, and risk insights that influence executive decision-making.
Exposure to large-scale digital transformation, Risk-Based Pricing (RBP), and advanced analytics initiatives.
Opportunity to collaborate with Risk, Finance, Product, Data, Engineering, and Executive Leadership teams.
Continuous learning, professional certification sponsorship, and career development opportunities.
Competitive compensation and the opportunity to solve complex, high-impact credit risk challenges.
Location: Lagos, Nigeria
Who We Are
We're a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience.
The Role
The Senior Anti-Fraud & Credit Policy Manager leads the Bank's Credit Policy and Fraud Prevention function, ensuring robust controls across customer onboarding, loan origination, and portfolio management. The role is responsible for developing and optimizing fraud prevention strategies, KYC controls, credit policy rules, and fraud detection models while safeguarding the business against financial crime and operational losses.
The successful candidate will oversee anti-fraud systems, external risk data providers, blacklist management, and continuous monitoring of fraud attacks. Working closely with Risk, Credit, Product, Operations, Technology, Compliance, and Data Science teams, this role will drive automation, enhance decisioning frameworks, and strengthen fraud prevention capabilities across the lending lifecycle.
This role is ideal for someone with extensive experience in fraud risk management, credit policy, digital lending, and data-driven decisioning within banking or fintech.
What You Will Do
Lead the design, implementation, and continuous improvement of credit policies and anti-fraud strategies across all lending products.
Develop, monitor, and optimize KYC, customer verification, and fraud prevention controls throughout the customer lifecycle.
Design, implement, and fine-tune fraud detection rules, cross-match models, and decision engines to improve fraud detection while minimizing false positives.
Manage fraud prevention platforms and decisioning systems to enhance approval quality and customer experience.
Oversee relationships with external risk data providers, including credit bureaus, identity verification providers, device intelligence, and fraud intelligence vendors.
Evaluate the effectiveness of third-party fraud and identity solutions and recommend enhancements where necessary.
Own and maintain customer, device, identity, and merchant blacklists, ensuring timely updates and governance.
Monitor fraud trends, emerging threats, attack patterns, and suspicious activities across digital channels.
Lead daily fraud monitoring, investigate fraud incidents, and coordinate rapid response actions to mitigate losses.
Develop fraud dashboards, KPIs, and management reports to support executive decision-making.
Conduct root cause analysis of fraud events and implement preventive controls.
Collaborate with Product, Engineering, Data Science, and Operations teams to implement new fraud controls and policy enhancements.
Review lending policies and recommend updates based on portfolio performance, fraud trends, regulatory changes, and business strategy.
Support internal and external audits, regulatory examinations, and compliance activities relating to fraud prevention and credit policy.
Ensure all fraud prevention activities comply with regulatory requirements and internal governance standards.
Lead continuous improvement initiatives through automation, analytics, and advanced fraud detection techniques.
Requirements
What You Bring
Educational Qualification
Bachelor's degree in Computer Science, Information Technology, Mathematics, Statistics, Economics, Finance, Accounting, Engineering, or a related discipline.
Master's degree is an added advantage.
Professional Certifications
Certified Fraud Examiner (CFE) – preferred.
Certified Anti-Money Laundering Specialist (CAMS) – an advantage.
Certified Risk Management Professional (CRMP), FRM, or equivalent certifications are desirable.
Professional certifications in Data Analytics, SQL, Python, SAS, or Power BI are an added advantage.
Experience
Minimum of 6–8 years of experience in Fraud Risk Management, Credit Policy, Financial Crime, Credit Risk, or Digital Lending.
At least 3 years in a leadership or senior specialist role.
Experience within banking, fintech, consumer lending, or financial services.
Hands-on experience managing fraud prevention systems, KYC platforms, and rule-based decision engines.
Experience working with external fraud intelligence, identity verification, and credit bureau providers.
Professional Competencies
Strong knowledge of digital fraud prevention, financial crime, and credit policy management.
Deep understanding of KYC, Customer Due Diligence (CDD), identity verification, and fraud risk controls.
Experience designing and optimizing fraud rules, scorecards, cross-match models, and decision engines.
Strong understanding of fraud attack vectors, synthetic identity fraud, account takeover, device fraud, application fraud, and first-party fraud.
Experience managing external risk data providers and integrating third-party fraud solutions.
Strong knowledge of blacklist management, fraud monitoring, and fraud investigation processes.
Proficiency in SQL, Excel, Power BI, Python, SAS, or similar analytical tools.
Strong analytical and problem-solving skills with the ability to identify emerging fraud patterns.
Excellent stakeholder management, communication, and leadership skills.
Strong understanding of regulatory requirements relating to fraud prevention, AML, KYC, and consumer lending.
Ability to balance fraud prevention with customer experience and business growth.
This Role Is Ideal For You If:
You enjoy building robust fraud prevention and credit policy frameworks.
You are passionate about protecting customers and the business from financial crime.
You enjoy analyzing fraud patterns and improving decision engines through data.
You thrive in fast-paced, technology-driven lending environments.
You enjoy collaborating across Risk, Compliance, Product, Engineering, and Operations teams.
You are motivated by solving complex fraud challenges using analytics and technology.
You May Not Enjoy This Role If:
You prefer operational processing over strategic risk management.
You are uncomfortable making high-impact risk decisions.
You dislike working with fraud analytics, rule optimization, and large datasets.
You prefer environments with limited change and innovation.
You are not interested in regulatory compliance, fraud prevention, or credit governance.
Benefits
What's In It For You
Opportunity to lead fraud prevention and credit policy for a fast-growing fintech organization.
Ownership of fraud strategy, KYC controls, and credit decisioning frameworks that directly influence portfolio quality and customer trust.
Exposure to advanced fraud technologies, digital identity solutions, and analytics-driven decisioning.
Opportunity to collaborate with Risk, Product, Engineering, Data Science, Compliance, and Executive Leadership teams.
Continuous learning, professional certification support, and career development opportunities.
Competitive compensation and the opportunity to solve complex, high-impact fraud and credit risk challenges.
Location: Lagos, Nigeria
Who We Are:
We're a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience.
The Role:
The Portfolio Manager is responsible for developing, implementing, and managing credit portfolio strategies that support the Bank's expansion into new markets and regions. The role ensures sustainable portfolio growth by balancing risk, profitability, and customer acquisition while adapting credit strategies to local market dynamics and regulatory environments.
This role will lead portfolio performance monitoring, market analysis, credit strategy optimization, and expansion initiatives across multiple geographies. Working closely with Credit Risk, Product, Finance, Data, Collections, and Business teams, the Portfolio Manager will drive data-driven decisions that maximize portfolio quality and business performance.
This role is ideal for someone with strong expertise in portfolio management, retail lending, credit analytics, and expansion strategy within banking or fintech.
What You Will Do:
Develop and execute portfolio strategies to support expansion into new markets and regions.
Design localized credit strategies based on customer behaviour, market conditions, regulatory requirements, and portfolio performance.
Monitor portfolio quality, profitability, and growth across multiple regions using key credit risk metrics.
Analyse portfolio trends, customer segments, and product performance to identify growth opportunities and emerging risks.
Perform portfolio forecasting, scenario analysis, stress testing, and profitability assessments.
Recommend enhancements to underwriting policies, pricing strategies, and portfolio limits to optimise business performance.
Partner with Product and Business teams to support the launch of new lending products and market expansion initiatives.
Monitor key portfolio indicators including delinquency, default rates, recoveries, vintage performance, roll rates, and loss trends.
Conduct deep-dive analysis on regional portfolio performance and provide actionable recommendations to senior management.
Collaborate with Finance on Expected Credit Loss (ECL), impairment analysis, and portfolio provisioning.
Develop automated dashboards and portfolio reporting to support executive decision-making.
Drive continuous improvement initiatives across portfolio analytics, reporting automation, and risk management processes.
Ensure compliance with internal credit policies, regulatory requirements, and governance standards.
Work closely with Risk, Data Science, Technology, Collections, and Operations teams to improve portfolio performance and customer outcomes.
Requirements
What You Bring
Educational Qualification:
Bachelor's degree or Higher National Diploma in Finance, Economics, Statistics, Mathematics, Business Administration, Engineering, Computer Science, or a related quantitative discipline.
A Master's degree is an added advantage.
Professional Certifications:
Financial Risk Manager (FRM) or Chartered Financial Analyst (CFA) certification is preferred.
Professional certifications in Credit Risk Management or Portfolio Management are an added advantage.
Microsoft Power BI, SQL, Python, SAS, or equivalent data analytics certifications are desirable.
Experience:
Minimum of 5–7 years of experience in Portfolio Management, Credit Risk, Credit Analytics, or Retail Lending.
Hands-on experience managing consumer lending portfolios within banking, fintech, or other financial institutions.
Experience supporting regional expansion, multi-market portfolios, or new market launches is an added advantage.
Professional Competencies:
Strong understanding of retail lending, portfolio management, and credit risk principles.
Experience analysing portfolio performance using key risk and financial metrics.
Knowledge of IFRS 9, Expected Credit Loss (ECL), impairment analysis, and portfolio profitability.
Strong analytical skills with experience using SQL, Excel, Power BI, Python, SAS, or similar analytical tools.
Experience with portfolio segmentation, vintage analysis, roll rates, delinquency monitoring, and stress testing.
Strong understanding of lending products, customer behaviour, and market dynamics.
Excellent communication, stakeholder management, and presentation skills.
Strong commercial acumen with the ability to balance business growth and portfolio quality.
Ability to work effectively in a fast-paced, data-driven environment while managing multiple priorities.
This Role Is Ideal For You If:
You enjoy building and optimising lending portfolios across new markets.
You are passionate about using data to drive strategic business decisions.
You thrive in high-growth, fast-paced financial services environments.
You enjoy collaborating with cross-functional teams to deliver business outcomes.
You are motivated by solving complex portfolio and credit risk challenges.
You May Not Enjoy This Role If:
You prefer operational or administrative work over strategic portfolio management.
You are uncomfortable working with large datasets and financial analysis.
You dislike balancing commercial growth with risk management.
You prefer highly repetitive work with limited opportunities for innovation and strategic thinking.
Benefits
What's In It For You:
Opportunity to lead portfolio strategy for regional expansion within a fast-growing fintech organisation.
Exposure to large-scale lending portfolios, market expansion, and strategic growth initiatives.
Opportunity to collaborate with Credit Risk, Product, Finance, Data, Engineering, and Executive Leadership teams.
Continuous learning, professional certifications, and career development opportunities.
Competitive compensation and the opportunity to influence business growth while managing portfolio performance across multiple markets.
Location: Lagos, Nigeria
Who We Are:
We're a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience.
The Role:
The Credit Policy Analyst is responsible for designing, implementing, and continuously improving credit policies and underwriting strategies for new lending products, including Credit Cards, Credit Lines, Buy Now Pay Later (BNPL), Merchant Financing, and other emerging digital credit solutions.
The role partners closely with Credit Risk, Product, Data Science, Fraud, Technology, Finance, and Operations teams to ensure new products are launched with robust credit decisioning frameworks that balance portfolio growth, customer experience, profitability, and risk management.
This role is ideal for someone with strong expertise in credit policy development, consumer lending, and data-driven decision-making within a fast-paced banking or fintech environment.
What You Will Do:
Design and develop credit policies for new lending products, including Credit Cards, Credit Lines, BNPL, Merchant Financing, and other digital lending solutions.
Define customer eligibility criteria, underwriting standards, credit limits, pricing strategies, and approval rules for new products.
Develop, test, and optimize credit decision rules, scorecards, and policy frameworks to improve portfolio quality and customer acquisition.
Monitor the performance of newly launched products and recommend policy enhancements based on portfolio analytics and business performance.
Conduct policy simulations, scenario analysis, and impact assessments before implementing credit policy changes.
Collaborate with Product, Data Science, Fraud, Engineering, Collections, and Finance teams throughout the product development lifecycle.
Analyse customer behaviour, repayment trends, portfolio performance, and profitability to support policy improvements.
Recommend changes to approval strategies, credit limits, pricing, and risk controls based on portfolio performance and market trends.
Develop automated dashboards, portfolio monitoring reports, and policy performance metrics for management reporting.
Support A/B testing and champion/challenger strategies to continuously improve credit decisioning.
Ensure all credit policies comply with regulatory requirements, internal governance standards, and the Bank's risk appetite.
Maintain comprehensive documentation of credit policies, governance approvals, decision rules, and implementation procedures.
Support audits, regulatory reviews, and compliance activities relating to credit policy management.
Requirements
What You Bring
Educational Qualification:
Bachelor's degree or Higher National Diploma in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, Business Administration, or a related quantitative discipline.
A Master's degree is an added advantage.
Professional Certifications:
Financial Risk Manager (FRM), Chartered Financial Analyst (CFA), or equivalent risk management certification is preferred.
Credit Risk or Consumer Lending certifications are an added advantage.
Professional certifications in SQL, Python, SAS, Power BI, or Data Analytics are desirable.
Experience:
Minimum of 4–6 years of experience in Credit Policy, Credit Risk, Portfolio Analytics, Consumer Lending, or Lending Strategy.
Hands-on experience designing or managing credit policies for retail or digital lending products.
Experience within banking, fintech, consumer finance, or other regulated financial institutions.
Experience supporting the launch of new lending products is an added advantage.
Professional Competencies:
Strong understanding of consumer lending, underwriting principles, and credit policy management.
Experience developing credit strategies for products such as Credit Cards, Credit Lines, BNPL, Merchant Financing, or unsecured lending products.
Knowledge of scorecards, decision engines, credit bureau data, affordability assessments, and risk-based pricing.
Strong analytical skills with experience using SQL, Excel, Power BI, Python, SAS, or similar analytical tools.
Understanding of portfolio monitoring, IFRS 9, Expected Credit Loss (ECL), and portfolio performance metrics.
Experience conducting policy performance analysis, segmentation, champion/challenger testing, and portfolio optimisation.
Excellent analytical, communication, and stakeholder management skills.
Strong attention to detail with the ability to balance business growth, customer experience, and credit risk.
This Role Is Ideal For You If:
You enjoy designing credit strategies for innovative lending products.
You are passionate about balancing business growth with prudent risk management.
You enjoy using data and analytics to improve customer decisioning.
You thrive in collaborative, cross-functional product development environments.
You enjoy solving complex lending and credit policy challenges.
You May Not Enjoy This Role If:
You prefer operational or administrative work over analytical and strategic roles.
You are uncomfortable making data-driven credit policy recommendations.
You dislike working with large datasets, policy optimisation, and performance analytics.
You prefer highly repetitive work with limited opportunities for innovation.
Benefits
What's In It For You:
Opportunity to shape the credit strategy for innovative lending products within a leading fintech organisation.
Hands-on experience launching and optimising products such as Credit Cards, Credit Lines, BNPL, and Merchant Financing.
Exposure to Product, Data Science, Risk, Engineering, Finance, and Executive Leadership teams.
Continuous learning, professional certification support, and career development opportunities.
Competitive compensation and the opportunity to solve complex, real-world lending and credit risk challenges.
Location: Tabuk, Saudi Arabia; Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Yanbu, Saudi Arabia
The Operations Engineer will be responsible for monitoring and controlling the operation of all facility systems and coordinating maintenance-related activities at the Primary Nursery Facility in NEOM. The role will also oversee the delivery of support services, including Janitorial, Horticulture, Pest Control, Waste Management, and Office Services.
The Operations Engineer will ensure the safe, efficient, and reliable operation of electro-mechanical systems, monitor service provider performance, ensure compliance with operational KPIs, resolve customer complaints, and continuously identify opportunities to improve facility performance, energy efficiency, and end-user satisfaction.
Key Responsibilities
Supervise and coordinate the daily operation of all MEP and electro-mechanical systems at the Primary Nursery Facility.
Monitor and control equipment including MCCs, pumps, VFDs, fans, instrumentation, emergency generators, AHUs, chillers, and related systems.
Plan operational activities, establish priorities, and coordinate maintenance and project-related works.
Conduct regular inspections and monitor system performance to ensure facility readiness, reliability, and compliance with operational requirements.
Analyze system performance, operating parameters, alarms, and set points, and implement corrective actions and improvement initiatives.
Respond promptly to emergencies, major faults, equipment failures, and operational interruptions.
Support Root Cause Analysis (RCA), incident investigations, commissioning activities, and the implementation of corrective actions.
Manage and monitor contractors and service providers delivering Janitorial, Horticulture, Pest Control, Waste Management, and Office Services.
Ensure customer satisfaction by resolving complaints, high-priority tickets, and recurring operational issues while monitoring service delivery against KPIs.
Requirements
Bachelor’s degree in Electrical, Mechanical, Electro-Mechanical Engineering, or a related field.
4–6 years of experience in Facility Management, Facility Operations, or a similar role.
Proven experience in the operation and monitoring of MEP and electro-mechanical systems.
Good knowledge of facility systems and equipment, including MCCs, pumps, VFDs, generators, AHUs, chillers, fans, and instrumentation.
Ability to read and interpret technical drawings and understand MEP commissioning procedures.
Experience in contractor management, service provider coordination, and KPI monitoring.
Strong knowledge of troubleshooting, problem-solving, Root Cause Analysis (RCA), and corrective action processes.
Good communication, leadership, coordination, analytical, and customer service skills.
Good command of written and spoken English, with the ability to work effectively under pressure and respond to operational emergencies.
Location: India; Singapore
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
Nebius is building next-generation data center infrastructure across the APAC to support high-density, GPU-driven workloads. As an Electrical Design Engineer, you will support the design, review, and technical development of electrical systems for data centers across the APAC portfolio.
This role is ideal for a
Data Center Electrical Design Engineer
with hands-on
data center design
experience who can work across conceptual design, design reviews, partner coordination, and technical decision-making. You should be comfortable evaluating
both low-voltage and medium/high-voltage electrical systems
and helping ensure designs meet Nebius standards, local regulations, and operational requirements.
Responsibilities
Review electrical design packages for data center projects, including internal concepts and third-party partner designs.
Support development of electrical design concepts for high-density data center environments.
Evaluate UPS, LV, MV, and HV electrical infrastructure, including systems up to 400V and MV/HV systems around 11kV and above.
Review cable distribution, electrical pathways, and design coordination with data hall layouts.
Partner with mechanical, construction, commissioning, and operations stakeholders to ensure designs are buildable, maintainable, and aligned with business needs.
Assess designs for concurrently maintainable data center operations and high power-density environments.
Help identify alternative design solutions, product options, and technical tradeoffs.
Requirements
Data center electrical design experience.
Strong understanding of electrical systems used in mission-critical or data center environments.
Experience with LV and/or MV/HV electrical infrastructure.
Ability to review design documents, technical proposals, and partner deliverables.
Ability to read and interpret contracts, design requirements, and technical standards.
Strong communication skills with internal stakeholders, external design partners, and construction teams.
Practical engineering mindset with ability to think beyond narrow specialization.
Nice to Have
Experience with hyperscale, neocloud, GPU, or AI infrastructure data centers.
Experience at companies such as Lambda, CoreWeave, hyperscalers, colocation providers, or mission-critical engineering firms.
Familiarity with high-density rack environments, including 50kW to 200kW per rack.
Experience supporting design reviews through commissioning or operational turnover.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Hyderabad, India; Singapore
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
Nebius is building next-generation data center infrastructure across the APAC to support high-density, GPU-driven workloads. As a Mechanical Design Engineer, you will support the design, review, and technical development of mechanical systems for data centers across the APAC portfolio.
This role is ideal for a
Mechanical Engineer
who can take broad ownership across data center mechanical design, evaluate technical options, and work closely with electrical, construction, commissioning, and operations teams. The right candidate can operate independently, review third-party designs, and help Nebius build scalable, maintainable, high-density data center environments.
Responsibilities
Review mechanical design packages for data center projects, including internal concepts and third-party partner designs.
Support mechanical design development for high-density data center environments.
Evaluate mechanical design options for air-cooled and liquid-cooled data center architectures.
Coordinate closely with electrical design, construction, commissioning, and operations stakeholders.
Review designs for maintainability, operational resilience, capacity, and alignment with Nebius standards.
Help assess technical tradeoffs, alternative solutions, product options, and design risks.
Support design reviews tied to power density, airflow, cooling capacity, and operational readiness.
Requirements
Data center mechanical design experience.
Strong understanding of mechanical systems in mission-critical or data center environments.
Experience with air-cooled data center design.
Ability to evaluate mechanical capacity, flows, and design assumptions.
Ability to review design documents, technical proposals, and partner deliverables.
Ability to read and interpret contracts, design requirements, and technical standards.
Strong communication skills with internal stakeholders, external design partners, and construction teams.
Broad engineering ownership mindset; able to manage the full mechanical design scope rather than only a narrow specialty.
Nice to Have
Experience with liquid-cooled data center technologies.
Experience with hyper-scale, neocloud, GPU, or AI infrastructure data centers.
Experience at companies such as Lambda, CoreWeave, hyperscalers, colocation providers, or mission-critical engineering firms.
Familiarity with high-density rack environments, including 50kW to 200kW per rack.
Experience supporting design reviews through commissioning or operational turnover.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Moldova
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
Innovation is a core value of
INFUSE
. We are bringing together people who can look into the future to better understand how technology will shape businesses, people who create and navigate projects with great potential impact.
We are looking for a remote junior Marketing Campaign Coordinator to join our team!
This position offers an opportunity to enhance your digital marketing skills while coordinating all aspects of email campaigns in collaboration with teams such as designers and copywriters. The role involves managing and executing email marketing campaigns, beginning with smaller initiatives and scaling up. Key responsibilities include ensuring clients receive leads that meet predefined criteria, refining email content for maximum engagement, and maintaining seamless campaign operations to optimize lead quality. This role requires strong organizational skills, focus, multitasking, and analytical thinking.
What will you get from working with us:
Understanding of the latest trends in the marketing industry;
Unique experience of working with professionals;
Competitive salary and its revision based on your performance and work results;
Deepening into the business processes of an American marketing company.
What we expect from you:
Knowledge of English, written and verbal (Upper-Intermediate +);
Creative thinking, organizational skills, independent.
Working experience with Google Drive/Sheets is a plus.
What are our requirements:
Coordination of the Full-Cycle working process on the email campaign;
Communication with different departments as designers, copywriters, and verification;
Follow up on deadlines;
Make a report on the campaign for delivering to the client.
What we offer:
Paid trainings;
Getting knowledge and experience from one of the most in-demand industries in business;
Stable work in a large Internet marketing company;
Competitive compensation in USD;
Paid vacation and sick leave;
Reduced Fridays during summer;
A schedule aligned with approved company holidays in the U.S.
WORKING HOURS: 3:30 PM to 12:00 AM EET
Location: Georgia
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
Innovation is a core value of
INFUSE
. We are bringing together people who can look into the future to better understand how technology will shape businesses, people who create and navigate projects with great potential impact.
We are looking for a remote junior Marketing Campaign Coordinator to join our team!
This position offers an opportunity to enhance your digital marketing skills while coordinating all aspects of email campaigns in collaboration with teams such as designers and copywriters. The role involves managing and executing email marketing campaigns, beginning with smaller initiatives and scaling up. Key responsibilities include ensuring clients receive leads that meet predefined criteria, refining email content for maximum engagement, and maintaining seamless campaign operations to optimize lead quality. This role requires strong organizational skills, focus, multitasking, and analytical thinking.
What will you get from working with us:
Understanding of the latest trends in the marketing industry;
Unique experience of working with professionals;
Competitive salary and its revision based on your performance and work results;
Deepening into the business processes of an American marketing company.
What we expect from you:
Knowledge of English, written and verbal (Upper-Intermediate +);
Creative thinking, organizational skills, independent.
Working experience with Google Drive/Sheets is a plus.
What are our requirements:
Coordination of the Full-Cycle working process on the email campaign;
Communication with different departments as designers, copywriters, and verification;
Follow up on deadlines;
Make a report on the campaign for delivering to the client.
What we offer:
Paid trainings;
Getting knowledge and experience from one of the most in-demand industries in business;
Stable work in a large Internet marketing company;
Competitive compensation in USD;
Paid vacation and sick leave;
Reduced Fridays during summer;
A schedule aligned with approved company holidays in the U.S.
WORKING HOURS: 3:30 PM to 12:00 AM EET
Mayflower is a technology company focused on transforming the live entertainment industry by providing high-quality live streaming experiences. The Design System Designer role involves evolving and maintaining the design system across product and engineering teams.
Responsibilities:
— Evolve and maintain the existing UI foundation using Figma, Storybook, and code
— Design and refine core UI components such as inputs, buttons, form elements, and patterns
— Refine and extend a scalable token architecture (primitive → semantic → component) with theming support
— Improve alignment between Figma, frontend implementation, and Storybook to ensure product consistency
— Contribute to and improve the design-to-code workflow using Figma Variables, Tokens Studio, Style Dictionary, and CI/CD pipelines
— Support migration of components toward a token-based structure, prioritizing impactful areas
— Help shape and maintain contribution guidelines and system standards for design and engineering teams
— Contribute to documentation and knowledge sharing to facilitate system understanding and usage
— Explore and support AI-assisted workflows, including structured and machine-readable design system practices
Location: Abqaiq, Saudi Arabia
The Associate Storekeeper / Warehouse Operator is responsible for receiving, storing, issuing, and maintaining inventory while ensuring accurate stock records and efficient warehouse operations. The role supports the smooth movement of materials by following established safety, quality, and inventory control procedures.
Key Responsibilities
Receive, inspect, and verify incoming materials against purchase orders and delivery documents.
Store materials in designated locations following warehouse layout and storage standards.
Pick, pack, and issue materials accurately according to approved requests.
Perform inventory transactions in the ERP/WMS system and maintain accurate stock records.
Conduct routine cycle counts and support periodic physical inventory activities.
Monitor stock levels and report shortages, damages, or discrepancies to the supervisor.
Ensure proper labeling, identification, and traceability of inventory.
Load and unload deliveries using appropriate material handling equipment, where authorized.
Maintain warehouse cleanliness, organization, and compliance with 5S standards.
Follow company safety policies and use appropriate personal protective equipment (PPE).
Qualifications
High school diploma or equivalent; a diploma or certification in logistics, warehousing, or supply chain is an advantage.
0 –4 years of experience in warehouse, stores, or inventory operations.
Experience with ERP or Warehouse Management Systems (WMS) is preferred.
Forklift certification is an advantage (where applicable).
Skills & Competencies
Knowledge of warehouse operations and inventory control.
Basic computer proficiency, including Microsoft Office and ERP systems.
Good organizational and time management skills.
Strong attention to detail and accuracy.
Ability to work in a fast-paced environment.
Good communication and teamwork skills.
Location: Cairo, Egypt; Algiers, Algeria; Lusail, Qatar; Kuwait City, Kuwait; Jamnagar, India; Dubai, United Arab Emirates
The Rig Liaisonman acts as the primary link between the drilling rig site, the Drilling & Technical Department (DTD), Saudi Aramco representatives, and the contractor. The position is responsible for coordinating rig activities, monitoring operational performance, ensuring compliance with approved drilling programs and Saudi Aramco requirements, and facilitating timely communication and resolution of operational issues.
Key Responsibilities
Serve as the main liaison between the rig site, DTD, Saudi Aramco representatives, and drilling contractors.
Coordinate daily drilling and rig-related activities with relevant departments and stakeholders.
Monitor rig operations to ensure compliance with approved drilling programs, procedures, safety standards, and client requirements.
Review and communicate daily drilling reports, operational updates, equipment status, and performance information.
Follow up on rig activities, operational challenges, equipment issues, and required corrective actions.
Coordinate with drilling engineers, rig management, wellsite supervisors, service companies, and other stakeholders.
Escalate operational, technical, safety, and schedule-related issues to the appropriate DTD personnel.
Assist in ensuring that drilling operations remain aligned with the approved program and project schedule.
Track the status of rig moves, rig readiness, equipment availability, maintenance requirements, and operational priorities.
Support coordination of logistics, materials, personnel, services, and other resources required for rig operations.
Participate in meetings, operational reviews, coordination meetings, and incident investigations when required.
Maintain accurate records and provide regular updates to DTD management.
Requirements
Bachelor’s degree or diploma in
Drilling Engineering, Petroleum Engineering, Mechanical Engineering, or a related discipline
; or equivalent relevant experience.
Typically
8–15 years of experience in drilling and rig operations
, preferably in the oil and gas industry.
Previous experience working with
Saudi Aramco operations or Saudi Aramco-approved contractors
is highly preferred.
Strong knowledge of land rig operations, drilling activities, wellsite coordination, and oilfield services.
Experience liaising with drilling contractors, service companies, client representatives, and technical departments.
Familiarity with Saudi Aramco safety, operational, and reporting requirements.
Cairo, Egypt; Algiers, Algeria; Lusail, Qatar; Kuwait City, Kuwait; Jamnagar, India; Dubai, United Arab Emirates
Location: Dhahran, Saudi Arabia
ERAM Talent is seeking a motivated Application Developer
to join our client in
Dhahran, Saudi Arabia
. This is an excellent opportunity for fresh graduates and early-career professionals (0–3 years of experience) who are passionate about software development, secure coding practices, and modern application technologies.
The ideal candidate will have a strong foundation in software development, application security, and database concepts, with the ability to develop, test, and maintain secure, high-quality applications. You will work closely with cross-functional teams to design, develop, integrate, and optimize software solutions while ensuring compliance with Oil & Gas industry best practices.
Key Responsibilities:
Design, develop, test, and maintain secure software applications.
Apply secure coding practices and ensure application and database security in line with Saudi Aramco standards.
Participate in system design, software architecture, application integration, and cloud-based development.
Develop and optimize SQL queries and work with relational databases.
Perform software testing, debugging, and performance optimization.
Collaborate effectively with clients and internal teams to deliver high-quality solutions.
Troubleshoot technical issues and provide innovative software solutions.
Requirements
Bachelor's degree in Computer Science or a related field.
GPA of
3.0/4.0
or
4.0/5.0
.
0–3 years of relevant experience (Fresh graduates are encouraged to apply).
Strong understanding of application security, database security, and secure coding principles.
Knowledge of software architecture, system design, cloud computing, and application integration.
Strong analytical, problem-solving, and communication skills.
Job Description
Action1 is transforming endpoint security for modern IT teams. As we continue our evolution from SMB to enterprise, we are hiring a high-performing Account Executive to drive new business across state, local, and education accounts in the United States. This is a quota-carrying, full-cycle role focused on landing and expanding SLED accounts while applying the same disciplined, new-business sales motion we use across mid-market and enterprise organizations. You will engage directly with IT Directors, Security Leaders, Infrastructure teams, procurement stakeholders, and executive decision-makers to position Action1’s patch management and endpoint security platform as a strategic solution.
We’re looking for someone who understands how cybersecurity and IT infrastructure buying works — longer sales cycles, multiple decision-makers, technical validation, security review, procurement navigation, and strong business justification — and who can bring that discipline into public sector and education accounts. This is not a relationship-only SLED role or a reactive RFP position. We need someone who can create pipeline, open doors with IT and security buyers, run strong discovery, manage technical evaluations, and close business in a high-growth, remote-first SaaS environment.
If you’ve successfully sold cybersecurity or adjacent IT solutions into mid-market, enterprise, or public sector accounts and enjoy building a pipeline as much as closing, this role is for you.
Responsibilities
— Drive SLED Revenue Growth: Own a defined U.S. SLED territory and meet or exceed quota targets through disciplined pipeline generation, account planning, and deal execution.
— Manage the Full Sales Cycle: Lead opportunities from prospecting through close — including discovery, stakeholder mapping, value alignment, technical validation, procurement navigation, negotiation, and contract execution.
— Sell to IT & Security Leaders: Engage IT Managers, Directors of Infrastructure, CISOs, CIOs, SysAdmins, security teams, and technical buying committees with credibility and consultative expertise.
— Build & Maintain Strong Pipeline Coverage: Generate pipeline through outbound prospecting, partner collaboration, and strategic account planning. Maintain disciplined forecasting and opportunity hygiene in Salesforce.
— Navigate Complex Buying Processes: Manage multi-threaded sales cycles, security reviews, procurement workflows, public sector buying requirements, and competitive displacement strategies.
— Partner with Solutions Engineers: Collaborate closely with pre-sales/technical resources to ensure strong technical validation and alignment with customer requirements.
— Execute Account Expansion Strategy: Identify upsell and cross-sell opportunities within SLED customers to drive expansion revenue and long-term retention.
— Stay Market-Aware: Maintain a strong understanding of cybersecurity trends, endpoint management, patch management, vulnerability remediation, public-sector IT priorities, and competitive positioning.
— Operate with Ownership: Work independently in a remote-first environment while collaborating cross-functionally with Marketing, Channel, Customer Success, Product, and Sales Leadership.
— Collaborate Cross-Functionally: Partner closely with marketing, product, channel, and sales leadership to incorporate field feedback and refine messaging for public-sector and education accounts.
Requirements
— 3–7+ years of quota-carrying B2B sales experience in SaaS, cybersecurity, IT infrastructure, endpoint management, or adjacent technical solutions.
— Proven success consistently owning deals with a minimum average deal value of $30K.
— Proven success selling into mid-market, enterprise, public sector, education, or other complex buying environments.
— Experience engaging IT buyers, including IT Directors, SysAdmins, Security Leaders, Infrastructure teams, and technical stakeholders.
— Demonstrated ability to generate pipeline and close complex deals.
— Strong forecasting discipline and Salesforce hygiene.
— Experience navigating longer, multi-stakeholder sales cycles, including technical validation, security review, procurement, and legal/commercial negotiation.
— Excellent discovery and consultative selling skills.
— Comfortable in a high-growth, fast-paced startup environment.
— Ability to operate independently in a developing territory and create structure without relying on a fully mature sales motion.
— We are seeking candidates who can start as soon as possible due to business needs.
— SLED, public sector, education, government, or regulated-market sales experience.
— Experience selling cybersecurity, endpoint management, patch management, vulnerability management, EDR, MDR, IAM, IT operations, or infrastructure solutions into public sector or education accounts.
— Familiarity with public sector procurement processes, cooperative purchasing, contract vehicles, RFPs, reseller-led motions, or budget cycles.
Benefits
— A collaborative environment encouraging you to own your domain and implement best practices
— Stable income, benefits, flexible working hours, and opportunities for promotion.
— Friendly and professional peers, eager to help and help you grow.
— A multitude of interesting challenges and opportunities.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Code RL at Anthropic drives reinforcement learning efforts behind Claude's coding capabilities, creating and scaling agentic coding environments. This is an engineering role with unusual latitude to set technical direction and standards.
You'll be part of a team solving the engineering side of research efforts such as embedding with research teams, getting up to speed on their systems and needs, and designing the frameworks, APIs, and infrastructure that let researchers move faster, then rotating off, leaving behind well-oiled systems those teams can understand, own, and maintain themselves. Your remit also includes the ongoing health of production RL runs: maintainable, monitored, and straightforward to triage.
The team's problem space spans the client side of sandboxed execution for agentic RL environments, large-scale data processing jobs, the lifecycle of production datasets, and the frameworks researchers build environments on. You won't own all of this yourself, you'll take on the slices where your depth matters most. You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and hard-won intuition for how complex systems fail — especially silently. You should be comfortable diving into messy research code, finding the load-bearing abstractions, and improving them incrementally while researchers continue to build on top of your work.
Key responsibilities
Design widely-used APIs, frameworks, and abstractions that other engineers and researchers build on, with careful attention to interface legibility and principled defaults
Embed with research teams on a rotational basis: understand their engineering needs, build systems and APIs that support their work, and transfer ownership so teams can maintain those systems after you rotate off
Work directly in research codebases, improving reliability and structure without slowing down the research they support
Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that shrink the surface area for bugs
Contribute to the reliability of production RL systems, including monitoring, regression detection, and triage tooling
Help define engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them
Minimum qualifications
Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant Python code
A track record of designing intuitive, safe APIs or frameworks that other engineers or teams adopted and built on
Experience working productively in large, evolving, or research-style codebases that you didn't originally write
Demonstrated ability to anticipate failure modes — especially silent ones — and prevent them structurally through system design, type safety, and testing
Strong written and verbal communication skills, including the ability to explain system designs to collaborators with varied engineering backgrounds
Comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome
Preferred qualifications
Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows
Familiarity with reinforcement learning concepts, agentic systems, or LLM training pipelines
Experience building or operating large-scale distributed systems
Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms
Experience with large-scale data processing or dataset lifecycle management
Experience designing plugin systems or extensible class hierarchies used across an organization
Experience embedding with or consulting for other teams, including successfully handing off systems for others to own
Experience defining code standards, lint rules, or static verification approaches adopted across multiple teams
Prior experience as a technical lead, or setting engineering standards for a team
Prior experience maintaining an open source project
Representative projects
These are examples of the challenges the team tackles; no one person will work on all of them:
Design a base RL environment abstraction general enough to be subclassed across a wide range of environments
Design a model-tool interface for sandboxed agentic environments that has explicit serialization semantics
Partner with the platform teams that own the sandbox runtime to specify low-level features that improve the integrity of agentic coding tasks
Design probes that catch sandbox regressions early
Design the lifecycle and maintenance scheme for a production dataset
Lead a research code refactor replacing loosely structured data containers with equivalents that carry stronger correctness guarantees, without breaking the experiments that depend on them
Design lint rules and code-style requirements that favor statically verifiable patterns — including patterns less likely to be overlooked by an LLM reviewing or writing the code — to shrink the surface area for silent bugs
Build the access layer that lets researchers discover and reuse data artifacts across teams
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$625,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Environments organization builds and maintains the infrastructure that improves Claude’s capabilities through reinforcement learning. That includes the frameworks researchers use to build environments and the infrastructure responsible for running them. The team's mission is to productionize research. You'll embed with research teams, get up to speed on how they work, and design the frameworks and APIs that let them move faster, building systems the team can understand, own, and maintain themselves. Scope also includes keeping production RL runs healthy, maintainable, monitored, and easy to triage.
You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and good intuition for how complex systems fail, especially silently. It's a bonus if you've built and operated a stateful distributed system, such as a workflow engine, actor framework, or durable-execution runtime, where correctness depends on getting shared state and recovery right. You should be comfortable diving into messy research code, finding the abstractions that matter, and improving them incrementally while researchers continue to build on your work. You should also be comfortable using AI tools to accelerate your own development, but have an impulse towards deep verification.
Key responsibilities
Design widely used APIs, frameworks, and abstractions that other engineers and researchers build on, making correct usage the default and ruling out entire classes of errors structurally
Own the platform layers that sit beneath every environment, including the agent runtime
Build the tooling that lets environment owners understand, debug, and maintain their environments in production without needing an infrastructure engineer in the loop
Embed with research teams on a rotational basis, work directly in their codebases without slowing down the research they support, and transfer ownership when you rotate off
Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that reduce the room for correctness issues
Drive adoption of new frameworks across the organization, including deprecations and cutovers
Help define the engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them
Minimum qualifications
Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant code
Strong taste in API and framework design, the ability to explain why an interface is right or wrong rather than just recognizing it, and a track record of other engineers or teams adopting and building on frameworks you have built
Experience designing or operating stateful concurrent or distributed systems, and reasoning carefully about failure, retries, idempotency, and consistency
A habit of verification: you measure before you conclude, and you build the checks that let a system show it's correct
Experience working productively in large, evolving, or research-style codebases that you didn't originally write
Strong written and verbal communication with collaborators of varied engineering backgrounds, and comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome
Preferred qualifications
Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows, and familiarity with agentic systems or LLM training pipelines
Experience building agent frameworks, orchestration engines, or multi-agent systems, including checkpoint and restore, replay, and coordination of long-running stateful processes
Experience using AI coding tools on code where correctness matters, with good judgment about what to delegate and how to make the results verifiable
Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms
Experience with large-scale data processing, dataset lifecycle management, or data lineage systems
Experience designing serialization schemes, plugin systems, or extensible class hierarchies used across an organization
Experience embedding with or consulting for other teams and handing off systems for others to own, or defining code standards adopted across teams, or prior experience as a technical lead
Representative projects
These are examples of the challenges the team tackles:
Design a base RL environment abstraction that can be subclassed to support the large majority of environments built across RL
Redesign the model-tool interface for sandboxed agentic environments so that state is guaranteed to survive serialization, making it structurally impossible to write a tool that silently loses state
Design the state-sharing and recovery model for multi-agent workloads, so that losing a sandbox partway through a task becomes a transparent resume rather than lost work
Define the failure and retry model for a sandboxed execution platform, distinguishing infrastructure faults from genuine task outcomes so that each is handled correctly
Build the tooling that lets an environment owner diagnose why their environment is unhealthy in a production run, and fix it themselves
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$605,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Yerevan, Armenia
seniorLagos, Nigeria
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